Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Ernie 4.5 Turbo vs Qwen: Qwen3 32B benchmark

Name: Ernie 4.5 Turbo vs Qwen: Qwen3 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen: Qwen3 32B is more budget-friendly at $0.28/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Qwen: Qwen3 32B holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

Ernie 4.5 TurboTop code solve rate

ReasoningGPQA / Live

Ernie 4.5 TurboTop logical accuracy

Best Value$/1M Tok

Qwen: Qwen3 32BLowest API billing cost

Speed / TokTok/Sec

Ernie 4.5 TurboFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Ernie 4.5 Turbo (0)Qwen: Qwen3 32B (3)

Ernie 4.5 Turbo

0 of 3 Wins

Competitive baseline across remaining benchmarks

Qwen: Qwen3 32B

3 of 3 Wins

✓Input price✓Output price✓Context window

Baidu

Ernie 4.5 Turbo

Baidu current multimodal enterprise foundation model with broad Chinese knowledge.

Elo 1,450In: $0.3 · Out: $1.2/1M

Alibaba

Leads 3 of 3

Qwen: Qwen3 32B

Auto-discovered from OpenRouter (qwen/qwen3-32b). Preview until a second source matches.

In: $0.08 · Out: $0.28/1M

Top Rival Showdowns for Ernie 4.5 Turbo

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen: Qwen3 32B Wins

Qwen: Qwen3 32B

$0.28 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Ernie 4.5 Turbo (7)vsQwen: Qwen3 32B (3)

Ernie 4.5 Turbo: 7W (70%)Qwen: Qwen3 32B: 3W (30%)

← Ernie 4.5 TurboQwen: Qwen3 32B →

🏆Ernie 4.5 Turbo Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark

Ernie 4.5 TurbovsQwen: Qwen3 32B

Preference Elo

1,450vs—

Coding Elo

1,435vs—

SWE-bench

57%vs—

LiveBench

61%vs—

GPQA Diamond

74.5%vs—

Ernie 4.5 Turbo: 5WQwen: Qwen3 32B: 0W

🏆Ernie 4.5 Turbo Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Ernie 4.5 TurbovsQwen: Qwen3 32B

Output speed

95 tok/svs—

Time to first token

200 msvs—

Ernie 4.5 Turbo: 2WQwen: Qwen3 32B: 0W

🏆Qwen: Qwen3 32B Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Ernie 4.5 TurbovsQwen: Qwen3 32B

Output price

$1.2/1Mvs$0.28/1M+$0.92/1M

Input price

$0.3/1Mvs$0.08/1M+$0.22/1M

Context window

128kvs131k+3k

Ernie 4.5 Turbo: 0WQwen: Qwen3 32B: 3W

Side-by-Side Benchmark Matrix

Ernie 4.5 TurboQwen: Qwen3 32B

Preference Elo

Ernie 4.5 Turbo1,450

Qwen: Qwen3 32B—

Coding Elo

Ernie 4.5 Turbo1,435

Qwen: Qwen3 32B—

LiveBench

Ernie 4.5 Turbo61%

Qwen: Qwen3 32B—

SWE-bench

Ernie 4.5 Turbo57%

Qwen: Qwen3 32B—

GPQA Diamond

Ernie 4.5 Turbo74.5%

Qwen: Qwen3 32B—

Time to first token

Ernie 4.5 Turbo200 ms

Qwen: Qwen3 32B—

Output speed

Ernie 4.5 Turbo95 tok/s

Qwen: Qwen3 32B—

Input priceQwen: Qwen3 32B +$0.22/1M

Ernie 4.5 Turbo$0.3/1M

Qwen: Qwen3 32B$0.08/1M

Output priceQwen: Qwen3 32B +$0.92/1M

Ernie 4.5 Turbo$1.2/1M

Qwen: Qwen3 32B$0.28/1M

Context windowQwen: Qwen3 32B +3k

Ernie 4.5 Turbo128k

Qwen: Qwen3 32B131k

Benchmark	Ernie 4.5 Turbo	Qwen: Qwen3 32B	Advantage Delta
Preference Elo	1,450 lmarena · Aug 17, 2026	—	—
Coding Elo	1,435 lmarena · Aug 17, 2026	—	—
LiveBench	61% livebench · Aug 17, 2026	—	—
SWE-bench	57% swebench · Aug 17, 2026	—	—
GPQA Diamond	74.5% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	200 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	95 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.3/1M seed-bootstrap · Aug 1, 2026	$0.08/1M openrouter · Aug 17, 2026	+$0.22/1M
Output price	$1.2/1M seed-bootstrap · Aug 1, 2026	$0.28/1M openrouter · Aug 17, 2026	+$0.92/1M
Context window	128k seed-bootstrap · Aug 1, 2026	131k openrouter · Aug 17, 2026	+3k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 75% with Qwen: Qwen3 32B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Ernie 4.5 Turbo$28.50 / mo

In: $10.5Out: $18

Qwen: Qwen3 32B$7.00 / mo

In: $2.8Out: $4.2

Estimated Cost Delta

Qwen: Qwen3 32B is estimated to save $21.50/month ($258/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3 32B:Pick Qwen: Qwen3 32B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 32B

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 32B

Larger window (131k).

Screenshots / visionErnie 4.5 Turbo

Ernie 4.5 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 32B	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 32B	Larger window (131k).
Screenshots / vision	Ernie 4.5 Turbo	Ernie 4.5 Turbo is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Baidu

Ernie 4.5 Turbo

Elo 1,450

SWE-bench57%

Speed (tok/s)95 tok/s

Input / 1M Tokens$0.3/1M

Output / 1M Tokens$1.2/1M

Alibaba

Qwen: Qwen3 32B

Elo n/a

SWE-bench—

Speed (tok/s)131k

Input / 1M Tokens$0.08/1M

Output / 1M Tokens$0.28/1M

Frequently Asked Questions

Which is better overall, Ernie 4.5 Turbo or Qwen: Qwen3 32B?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Ernie 4.5 Turbo or Qwen: Qwen3 32B?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Qwen: Qwen3 32B output tokens are $0.28/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Ernie 4.5 Turbo or Qwen: Qwen3 32B?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3 32B accepts 131k tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Ernie 4.5 Turbo and Qwen: Qwen3 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Ernie 4.5 Turbo matchups →|All Qwen: Qwen3 32B matchups →

Ernie 4.5 Turbo vs Yi-Lightning (previous other)Qwen 3 Max vs Ernie 4.5 Turbo Qwen QwQ 32B vs Ernie 4.5 Turbo Qwen 2.5 Plus vs Ernie 4.5 Turbo Qwen2.5 Coder 32B Instruct vs Ernie 4.5 Turbo Mistral Large 3 vs Ernie 4.5 Turbo

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Ernie 4.5 TurboQwen: Qwen3 32B

Preference Elo

Ernie 4.5 Turbo1,450

Qwen: Qwen3 32B—

Coding Elo

Ernie 4.5 Turbo1,435

Qwen: Qwen3 32B—

LiveBench

Ernie 4.5 Turbo61%

Qwen: Qwen3 32B—

SWE-bench

Ernie 4.5 Turbo57%

Qwen: Qwen3 32B—

GPQA Diamond

Ernie 4.5 Turbo74.5%

Qwen: Qwen3 32B—

Time to first token

Ernie 4.5 Turbo200 ms

Qwen: Qwen3 32B—

Output speed

Ernie 4.5 Turbo95 tok/s

Qwen: Qwen3 32B—

Input priceQwen: Qwen3 32B +$0.22/1M

Ernie 4.5 Turbo$0.3/1M

Qwen: Qwen3 32B$0.08/1M

Output priceQwen: Qwen3 32B +$0.92/1M

Ernie 4.5 Turbo$1.2/1M

Qwen: Qwen3 32B$0.28/1M

Context windowQwen: Qwen3 32B +3k

Ernie 4.5 Turbo128k

Qwen: Qwen3 32B131k

Benchmark

Ernie 4.5 Turbo

Qwen: Qwen3 32B

Advantage Delta

Preference Elo

1,450

lmarena · Aug 17, 2026

—

Coding Elo

1,435

lmarena · Aug 17, 2026

—

LiveBench

61%

livebench · Aug 17, 2026

—

SWE-bench

57%

swebench · Aug 17, 2026

—

GPQA Diamond

74.5%

seed-bootstrap · Aug 1, 2026

—

Time to first token

200 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

95 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.3/1M

seed-bootstrap · Aug 1, 2026

$0.08/1M

openrouter · Aug 17, 2026

+$0.22/1M

Output price

$1.2/1M

seed-bootstrap · Aug 1, 2026

$0.28/1M

openrouter · Aug 17, 2026

+$0.92/1M

Context window

128k

seed-bootstrap · Aug 1, 2026

131k

openrouter · Aug 17, 2026

+3k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 32B

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 32B

Larger window (131k).

Screenshots / visionErnie 4.5 Turbo

Ernie 4.5 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 32B	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 32B	Larger window (131k).
Screenshots / vision	Ernie 4.5 Turbo	Ernie 4.5 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Ernie 4.5 Turbo or Qwen: Qwen3 32B?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Ernie 4.5 Turbo or Qwen: Qwen3 32B?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Qwen: Qwen3 32B output tokens are $0.28/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, Ernie 4.5 Turbo or Qwen: Qwen3 32B?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3 32B accepts 131k tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Ernie 4.5 Turbo and Qwen: Qwen3 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.